def dfpoints(df, x_col, y_col, uuid=None, **kwargs):
"""
Generate a tileset that serves 2d labelled points from a pandas
dataframe.
Parameters
----------
df: :class:`pandas.DataFrame`
The dataframe containining the data
x_col: str
The name of the column containing the x-coordinates
y_col: str
The name of the column containing the y-coordinates
uuid: str
The uuid of this tileset
Returns
-------
A tileset capapble of serving tiles from this dataframe.
"""
from clodius.tiles.points import tileset_info, tiles, format_data
tsinfo = tileset_info(df, x_col, y_col)
tiles_fn = lambda z, x, y, width=1, height=1: tiles(
df, x_col, y_col, tsinfo, z, x, y, width, height)
return Tileset(uuid=uuid,
tileset_info=lambda: tsinfo,
tiles=lambda tile_ids: format_data(
bundled_tiles_wrapper_2d(tile_ids, tiles_fn)),
datatype="scatter-point",
**kwargs)
def test_bundled_tiles():
filename = 'data/points_density.h5'
tiles = hgut.bundled_tiles_wrapper_2d(['c.2.0.0', 'c.2.1.1', 'c.2.0.1', 'c.2.1.0'],
ft.partial(hgde.tiles, filename))
assert(len(tiles) == 4)
return
def test_bundled_tiles():
filename = "data/points_density.h5"
tiles = hgut.bundled_tiles_wrapper_2d(
["c.2.0.0", "c.2.1.1", "c.2.0.1", "c.2.1.0"],
ft.partial(hgde.tiles, filename))
assert len(tiles) == 4